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BF clarity-gate

Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.

ClawHub Agent Skills author: Francesco Marinoni Moretto v2.1.3 4 files body ≈ 6 043 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 48/100 · Will not run — References files that are not bundled: ../../docs/CLARITY_GATE_FORMAT_SPEC.md

AnalyzerAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: ../../docs/CLARITY_GATE_FORMAT_SPEC.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6043 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../../docs/CLARITY_GATE_FORMAT_SPEC.md
  • note frontmatter-key unknown frontmatter key "repository"
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "capabilities"
  • note frontmatter-key unknown frontmatter key "outputs"
  • note frontmatter-key unknown frontmatter key "spec_version"

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: ../../docs/CLARITY_GATE_FORMAT_SPEC.md
  • 0Tools and files. 1 referenced file(s) missing: ../../docs/CLARITY_GATE_FORMAT_SPEC.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 60Failures and branches. 2 branches
  • 70Execution cost. Instruction body is 6043 tokens
  • 100Steps. 112 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 18 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • -5TODO / placeholder text left in the skill
  • +2Single-language instructions
  • +3Description length 220: enough signal without eating the budget
  • +4Structure: 46 headings
  • +3Step-by-step instructions: 112 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill is a coherent document-quality checker for RAG preparation, with local hashing helpers and no evidence of hidden or harmful behavior.
LLM: benign (high) · VirusTotal: benign · 28 May 2026